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Emergent probability fluxes in confined microbial navigation

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posted on 2021-10-15, 12:35 authored by Jan Cammann, Fabian Jan Schwarzendahl, Tanya Ostapenko, Danylo Lavrentovich, Oliver Bäumchen, Marco MazzaMarco Mazza
When the motion of a motile cell is observed closely, it appears erratic, and yet the combination of nonequilibrium forces and surfaces can produce striking examples of organization in microbial systems. While most of our current understanding is based on bulk systems or idealized geometries, it remains elusive how and at which length scale self-organization emerges in complex geometries. Here, using experiments and analytical and numerical calculations, we study the motion of motile cells under controlled microfluidic conditions and demonstrate that probability flux loops organize active motion, even at the level of a single cell exploring an isolated compartment of nontrivial geometry. By accounting for the interplay of activity and interfacial forces, we find that the boundary’s curvature determines the nonequilibrium probability fluxes of the motion. We theoretically predict a universal relation between fluxes and global geometric properties that is directly confirmed by experiments. Our findings open the possibility to decipher the most probable trajectories of motile cells and may enable the design of geometries guiding their time-averaged motion.

History

School

  • Science

Department

  • Mathematical Sciences

Published in

Proceedings of the National Academy of Sciences

Volume

118

Issue

39

Publisher

Proceedings of the National Academy of Sciences

Version

  • VoR (Version of Record)

Publisher statement

This is an Open Access Article. It is published by Proceedings of the National Academy of Sciences under the Creative Commons Attribution-Non Commercial-No Derivatives 4.0 International (CC BY-NC-ND 4.0). Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

2021-08-08

Publication date

2021-09-28

Copyright date

2021

ISSN

0027-8424

eISSN

1091-6490

Language

  • en

Depositor

Dr Marco Mazza. Deposit date: 12 October 2021

Article number

e2024752118

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